Deep learning (DL) has become increasingly central to science, primarily due to its capacity to quickly, efficiently, and accurately predict and classify phenomena of scientific interest. This paper seeks to understand the principles that underwrite scientists’ epistemic entitlement to rely on DL in the first place and argues that these principles are philosophically novel. The question of this paper is not whether scientists can be justified in trusting in the reliability of DL. While today’s artificial intelligence exhibits characteristics common to (...) both scientific instruments and scientific experts, this paper argues that the familiar epistemic categories that justify belief in the reliability of instruments and experts are distinct, and that belief in the reliability of DL cannot be reduced to either. Understanding what can justify belief in AI reliability represents an occasion and opportunity for exciting, new philosophy of science. (shrink)

Collaboration is increasingly popular across academia. Collaborative work raises certain ethical questions, however. How will the fruits of collaboration be divided? How will the work for the collaborative project be split? In this paper, we consider the following question in particular. Are there ways in which these divisions systematically disadvantage certain groups? -/- We use evolutionary game theoretic models to address this question. First, we discuss results from O'Connor and Bruner (unpublished). In this paper, we show that underrepresented groups in (...) academia can be disadvantaged in such situations by dint of their small numbers. Second, we present novel results exploring how the hierarchical structure of academia can lead to bargaining disadvantage. We investigate models where one actor has a higher baseline of academic success, less to lose if collaboration goes south, or greater rewards for non-collaborative work. We show that in these situations, the less powerful partner is disadvantaged in bargaining over collaboration. (shrink)

Physicist Percy Bridgman has been taken by Heather Douglas to be an exemplar defender of an untenable value-free ideal for science. This picture is complicated by a detailed study of Bridgman's philosophical views of the relation between science and society. The normative autonomy of science, a version of the value-free ideal, is defended. This restriction on the provenance of permissible values in science is given a basis in Bridgman's broader philosophical commitments, most importantly, his view that science is primarily an (...) individual commitment to a set of epistemic norms and values. Considerations of external moral or social values are not, on this view, intrinsic to scientific practice, though they have a broader pragmatic significance. What Bridgman takes as the proper relation between science and society is shown through analysis of his many writings on the topic and consideration of his rarely remarked upon involvement in the most problematic example of "Big Science" of his day: the atomic bomb. A reevaluation of Bridgman's views provides a unique characterization of what is at stake in the values in science debate: the normative autonomy of science. (shrink)

Much of the literature on values in science is limited in its perspective because it focuses on the role of values in individual scientists’ decision making, thereby ignoring the context of scientific collaboration. I examine the epistemic structure of scientific collaboration and argue that it gives rise to two arguments showing that moral and social values can legitimately play a role in scientists’ decision to accept something as scientific knowledge. In the case of scientific collaboration some moral and social values (...) are properly understood to be extrinsic epistemic values, that is, values that promote the attainment of scientific knowledge. (shrink)

I argue that in epistemically well-designed scientific communities, scientists are united by mutual epistemic responsibilities, and epistemic responsibilities are understood not merely as epistemic but also as moral duties. Epistemic responsibilities can be understood as moral duties because they contribute to the well-being of other human beings by showing respect for them, especially in their capacity as knowers. A moral account of epistemically responsible behaviour is needed to supplement accounts that appeal to scientists’ self-interests or personal epistemic goals. This is (...) because neither the self-interest nor the epistemic account can always explain why it is rational for an individual scientist to be epistemically responsible. (shrink)

I examine ramifications of the widespread view that scientific objectivity gives us a permission to trust scientific knowledge claims. According to a widely accepted account of trust and trustworthiness, trust in scientific knowledge claims involves both reliance on the claims and trust in scientists who present the claims, and trustworthiness depends on expertise, honesty, and social responsibility. Given this account, scientific objectivity turns out to be a hybrid concept with both an epistemic and a moral-political dimension. The epistemic dimension tells (...) us when scientific knowledge claims are reliable, and the moral-political dimension tells us when we can trust scientists to be socially responsible. While the former dimension has received a fair amount of attention, the latter is in need of analysis. I examine what it means for scientists to be socially responsible, that is, to follow “sound” moral and social values in different stages of scientific inquiry. Social responsibility is especially important when scientists function as experts in society. Members of the public and policymakers do not want to rely on scientific research shaped by moral and social values they have good reasons to reject. Moreover, social responsibility is important in social research in which moral and social values can legitimately play many roles. I discuss the strengths and weaknesses of different answers to the question of how social scientists can identify appropriate moral and social values to inform their research. I argue that procedural accounts of social responsibility, such as well-ordered science and deliberative polling, have limitations. (shrink)

Like any science, archaeology relies on trust between actors involved in the production of knowledge. In the early history of archaeology, this epistemic trust was complicated by histories of Orientalism in the Middle East and colonialism more broadly. The racial and power dynamics underpinning 19th- and early 20th-century archaeology precluded the possibility of interpersonal moral trust between foreign archaeologists and locally hired labourers. In light of this, archaeologists created systems of reward, punishment, and surveillance to ensure the honest behaviour of (...) site workers. They thus invented a set of structural conditions that produced sufficient epistemic trust for archaeological research to proceed—a system that continues to shape archaeology to the present day. (shrink)

In this paper we address the question of how it can be possible for a non-expert to acquire justified true belief from expert testimony. We discuss reductionism and epistemic trust as theoretical approaches to answer this question and present a novel solution that avoids major problems of both theoretical options: Performative Expert Testimony (PET). PET draws on a functional account of expertise insofar as it takes the expert’s visibility as a good informant capable to satisfy informational needs as equally important (...) as her specific skills and knowledge. We explain how PET generates justification for testimonial belief, which is at once assessable for non-experts and maintains the division of epistemic labor between them and the experts. Thereafter we defend PET against two objections. First, we point out that the non-expert’s interest in acquiring widely assertable true beliefs and the expert’s interest in maintaining her status as a good informant counterbalances the relativist account of justification at work in PET. Second, we show that with regard to the interests at work in testimonial exchanges between experts and non-experts, PET yields a better explanation of knowledge-acquisition from expert testimony than externalist accounts of justification such as reliabilism. As our arguments ground in a conception of knowledge, which conceives of belief-justification as a declarative speech act, throughout the rearmost sections of this paper we also indicate to how such a conception is operationalized in PET. (shrink)

In this paper we address the question of how it can be possible for a non-expert to acquire justified true belief from expert testimony. We discuss reductionism and epistemic trust as theoretical approaches to answer this question and present a novel solution that avoids major problems of both theoretical options: Performative Expert Testimony. PET draws on a functional account of expertise insofar as it takes the expert’s visibility as a good informant capable to satisfy informational needs as equally important as (...) her specific skills and knowledge. We explain how PET generates justification for testimonial belief, which is at once assessable for non-experts and maintains the division of epistemic labor between them and the experts. Thereafter we defend PET against two objections. First, we point out that the non-expert’s interest in acquiring widely assertable true beliefs and the expert’s interest in maintaining her status as a good informant counterbalances the relativist account of justification at work in PET. Second, we show that with regard to the interests at work in testimonial exchanges between experts and non-experts, PET yields a better explanation of knowledge-acquisition from expert testimony than externalist accounts of justification such as reliabilism. As our arguments ground in a conception of knowledge, which conceives of belief-justification as a declarative speech act, throughout the rearmost sections of this paper we also indicate to how such a conception is operationalized in PET. (shrink)

This article situates actor-network theory in the history of evolutionary anthropology. In the 1980s, this attempt at explaining the social through the mediation of nonhumans received important impulses from Bruno Latour’s conversations with primatologist Shirley Strum. In a re-articulation of social evolutionism, they proposed that the utilization of objects distinguished humans from baboons and that the use of a growing number of objects set industrialized human populations apart from hunter-gatherers, enabling the formation of larger collectives. While Strum’s and Latour’s early (...) work presented baboons as almost human and suggested that we moderns had never been modern, the Anthropocene has reawakened curiosity about the original question of anthropology: how do modern humans, including modern scientists, differ from premoderns and animals? This 18th-century question is gaining new significance and urgency as we recognize our transmutation into a super-dominant species. But the answer might not lie solely in the use of more objects. (shrink)

In the social epistemology of scientific knowledge, it is largely accepted that relationships of trust, not just reliance, are necessary in contemporary collaborative science characterised by relationships of opaque epistemic dependence. Such relationships of trust are taken to be possible only between agents who can be held accountable for their actions. But today, knowledge production in many fields makes use of AI applications that are epistemically opaque in an essential manner. This creates a problem for the social epistemology of scientific (...) knowledge, as scientists are now epistemically dependent on AI applications that are not agents, and therefore not appropriate candidates for trust. (shrink)

What is the epistemic position that a scientist must be in vis-à-vis a proposition, p, to be in a good enough epistemic position to assert that p to a fellow scientist within the scientific process? My aim is to provide an answer to this question and, more generally, to connect the epistemological debates about the epistemic norms of assertion to the debates about the nature of the scientific process. The question is important because science is a collaborative enterprise based on (...) a division of labor. It has even been suggested that such collaboration is a part of the scientific method. However, scientific collaboration depends upon communication between scientists—that is, intra-scientific testimony. After distinguishing some different kinds of intra-scientific testimony, I provide a specific proposal for an epistemic norm of assertion that generally governs such testimony. I argue that the proposal aligns with the requirements of three scientific virtues—replicability, revisability, and accountability. The discussion of replicability considers a prominent debate in the social and cognitive sciences. In conclusion, I consider some of the wider questions raised by characterizing scientific collaboration, division of labor, and more generally, scientific method via intra-scientific testimony. (shrink)

We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a case study of (...) William H. Bragg’s early 20th century work in physics to demonstrate that successful science has in fact violated these norms. We then argue that features of the social epistemic arrangement of science which are necessary for its long run success require that we do not hold claims of scientific results to their standards. We end by making a suggestion about the norms that it would be appropriate to hold scientific claims to, along with an explanation of why the social epistemology of science—considered as an instance of collective inquiry—would require such apparently lax norms for claims to be put forward. (shrink)

The COVID-19 crisis has highlighted the considerable challenge of sourcing expertise and determining which experts to trust. Dissonant information fostered controversy in public discourse and encouraged an appeal to a wide range of social indicators of trustworthiness in order to decide whom to trust. We analyze public discourse on expertise by examining how social indicators inform the reputation of Dr. Didier Raoult, the French microbiologist who rose to international prominence as an early advocate for using hydroxychloroquine to treat COVID-19. To (...) comprehend how these indicators came to inform his reputation, we outline Dr. Raoult's rise to fame based on discourse about hydroxychloroquine. We then discuss why we trust in experts like scientist-practitioners. This is followed by an examination of how social indicators of trust like status, epistemic authority, influence and values have informed Dr. Raoult's reputation. We conclude with recommendations for how to improve the selection and evaluation social indicators of trust and reputations. Our aim here, instead of making a claim about the efficacy of hydroxychloroquine or Dr. Raoult's reputation per se, is to outline through this case study how social indicators of trust inform reputation and the challenge they present to evaluating expertise. (shrink)

Given the complexity of most phenomena, we have to delegate much epistemic work to other knowers and we must find reasons for relying on these specific knowers and not others. In our societies, these other knowers are often called experts and we rely on their epistemic authority more and more. For many complex phenomena such as climate change, genetically modified crops, and immunization, the experts that are called upon are scientific experts. For that reason, finding good reasons and justification for (...) deferring to their knowledge is of paramount societal importance. As we shall see, many have analyzed this epistemic dependence on scientific experts and have tried to show in what contexts are there good... (shrink)

Science is a collaborative effort to produce knowledge. Scientists thus must assess what information is trustworthy and who is a competent and honest source and partner. Facing the problem of trust, we can expect scientists to be vigilant. In response to their peers’ vigilance scientists will provide reasons, not only to convince their colleagues to adopt their practices or beliefs, but also to demonstrate that their beliefs and practices are justified. By justifying their beliefs and practices, scientists also justify themselves. (...) Reasons in science thus do not only function as tools of persuasion but also to manage reputation. This analysis strongly suggests that science constitutes a moral system, which has implications for the study and philosophy of science. (shrink)

This paper presents current work in philosophy of science in practice that focusses on practices that are detrimental to the production of scientific knowledge. The paper argues that philosophy of scientific malpractice both provides an epistemological complement to research ethics in understanding scientific misconduct and questionable research practices, and provides a new approach to how training in responsible conduct of research can be implemented.

Over the last decades, science has grown increasingly collaborative and interdisciplinary and has come to depart in important ways from the classical analyses of the development of science that were developed by historically inclined philosophers of science half a century ago. In this paper, I shall provide a new account of the structure and development of contemporary science based on analyses of, first, cognitive resources and their relations to domains, and second of the distribution of cognitive resources among collaborators and (...) the epistemic dependence that this distribution implies. On this background I shall describe different ideal types of research activities and analyze how they differ. Finally, analyzing values that drive science towards different kinds of research activities, I shall sketch the main mechanisms underlying the perceived tension between disciplines and interdisciplinarity and argue for a redefinition of accountability and quality control for interdisciplinary and collaborative science. (shrink)

Social epistemologists often operationalize the task of indirectly assessing experts’ trustworthiness to identifying whose beliefs are more reliably true on matters in an area of expertise. Not only does this neglect the philosophically rich space between belief formation and testimonial utterances, it also reduces trustworthiness to reliability. In ethics of trust, by contrast, explicitly relational views of trust include things like good will and responsiveness. One might think that relational aspects can be safely set aside for social epistemology of trust (...) in experts, that such considerations may be relevant for personal relationships but not for expert trustworthiness. Against these claims I argue for the social-epistemic relevance of relational aspects of trust in experts, and to that end I discuss three sorts of considerations – responsively positive, neutral, and negative factors – that can make a difference for expert trustworthiness. (shrink)

English summary: This paper engages with a tradition in Icelandic philosophy of theorizing about critical thinking. The central thesis of the paper is that critical thinking should not be identified with scientific thinking, since scientific research is often (and inevitably so) based on a kind of epistemic trust in other scientists' testimony that is incompatible with critical thinking. The paper also criticizes the idea that critical thinking should be associated with any of Charles Peirce's four ways of forming beliefs in (...) "The Fixation of Belief". (shrink)

Where there is trust, there is also vulnerability, and vulnerability can be exploited. Epistemic trust is no exception. This chapter maps the phenomenon of the exploitation of epistemic trust. I start with a discussion of how trust in general can be exploited; a key observation is that trust incurs vulnerabilities not just for the party doing the trusting, but also for the trustee (after all, trust can be burdensome), so either party can exploit the other. I apply these considerations to (...) epistemic trust, specifically in testimonial relationships. There, we standardly think of a hearer trusting a speaker. But we miss an important aspect of this relationship unless we consider too that the speaker standardly trusts the hearer. Given this mutual trust, and given that both trustees and trusters can exploit each other, we have four possibilities for exploitation in epistemic-trust relationships: a speaker exploiting a hearer (a) by accepting his trust or (b) by imposing her trust on him, and a hearer exploiting a speaker (c) by accepting her trust or (d) by imposing his trust on her. One result is that you do not need to betray someone to exploit him – you can exploit him just as easily by doing what he trusts you for. (shrink)